Saturation Calculation for Low-Resistivity Reservoirs Caused by Pyrite Conductivity
In the current petroleum industry, as oil and gas resources are continuously developed, easily accessible reservoirs are gradually diminishing, making complex reservoirs, especially low-resistivity reservoirs, key exploration targets. By analyzing the main geological factors contributing to the formation of low-resistivity reservoirs in the LN oilfield clastic rock formations and through the integrated use of logging and petrophysical data for property modeling, we considered the impact of pyrite content on low-resistivity reservoirs and reconstructed a low-resistivity reservoir density-volume model. Using a parallel conductivity model, a saturation calculation method was established to account for the conductivity induced by pyrite in low-resistivity reservoirs, which was able to accurately identify oil layers in practical applications. This pyrite-conductivity-based method for calculating saturation in low-resistivity reservoirs effectively addresses key issues in the identification of such reservoirs, significantly improving identification accuracy. It provides a new technical approach for the evaluation and development of complex reservoirs and holds important theoretical and practical significance for enhancing the efficiency of unconventional oil and gas resource development.
Authors
- Zhishang Zhang (ORCID: https://orcid.org/0000-0002-7876-0216)
- Guangwen Hu (ORCID: https://orcid.org/0000-0001-8700-5995)
- Renzhong Gan
- Rui Deng (ORCID: https://orcid.org/0000-0002-2141-6545)
- Guoli Li (ORCID: https://orcid.org/0000-0001-7440-5295)
- Meng Feng (ORCID: https://orcid.org/0009-0006-7581-887X)
- Zhitong Song
- Hui-dong Dou
Institutions
- Karamay Central Hospital of Xinjiang (CN)
- China National Petroleum Corporation (China) (CN)
Publication Details
- Journal
- Processes
- Published
- 2024-11-28
- DOI
- https://doi.org/10.3390/pr12122682
- Citations
- 2
- Primary Topic
- Geophysical and Geoelectrical Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.07